Comparison of educational environments in different sized rural hospitals during a longitudinal integrated clerkship in Thailand
Notice bibliographique
Résumé
INTRODUCTION: The longitudinal integrated clerkship (LIC) curriculum model focuses on patient-centered care and continuity of clinical and cultural learning between medical students, patients, clinicians, and a system of care. In rural settings, participating medical students are expected to have an interest in rural medicine and an involvement in the community. Many schools in the USA, Canada, and Australia have implemented LICs in undergraduate programs in different ways. However, a few published reports in Asia are available. This is the first report of a modified rural LIC in Thailand. The objective was to assess the educational environment of a rural LIC using the Dundee Ready Education Environment Measure (DREEM) questionnaire and to compare students' response on the basis of year of study and different sizes of hospitals. METHODS: A cross-sectional study was conducted. The study population comprised 75 clinical-year students in 2020. The modified LIC was implemented as part of integrated multidisciplinary rural clerkships for fourth-year students, and for fifth-year students undertaking clinical placements. Clinical clerkships in rural settings took place over 12 weeks for fourth-year students and over 14 weeks for fifth-year students. Practical exposure included the clinical areas of internal medicine, psychiatry, surgery, pediatrics, obstetrics and gynecology, emergency medicine, and family medicine, in outpatient and inpatient settings. The DREEM questionnaire was used to evaluate students' perceptions of learning climate. Data analysis was performed to determine the different size of hospitals and other factors associated with a favorable educational environment. RESULTS: The response rate to the questionnaire was 96%. The overall DREEM score average was 137.7/200. Students' perceptions of learning and of teaching had mean scores of 30.1/48 and 35.7/44, respectively. Students' academic self-perceptions scored 18.7/32. Students' perceptions of atmosphere scored 30.4 of 48, and social self-perceptions scored 18.3/28. The academic subscale had the lowest percentage of scores regarded as confidence in knowledge gain. The factors associated with positive educational environment were staff as principal preceptors and large hospitals. CONCLUSIONS: LIC implementation in a community health system is a model for expanding clinical clerkships. Good infrastructure of the host hospital and enthusiastic preceptors are the key success factors. Staff supervision is essential to encourage student learning, especially in academic environments. Large hospitals have better infrastructure to support learning processes than small hospitals.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».